Back to Search Start Over

The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community

Authors :
Guanghong Chen
Daniel Yoo
Julie Tacklind
Gabriel C. Lander
Suparna Mundodi
Yihe Wu
Jungwon Yoon
Leonore Reiser
Aisling Doyle
Tanya Z. Berardini
Mary Montoya
Eva Huala
Neil A. Miller
Seung Y. Rhee
Margarita Garcia-Hernandez
William D. Beavis
David A. Dixon
Lukas A. Mueller
Dan C. Weems
Peifen Zhang
Iris Xu
Source :
Nucleic Acids Research. 31:224-228
Publication Year :
2003
Publisher :
Oxford University Press (OUP), 2003.

Abstract

Arabidopsis thaliana is the most widely-studied plant today. The concerted efforts of over 11 000 researchers and 4000 organizations around the world are generating a rich diversity and quantity of information and materials. This information is made available through a comprehensive on-line resource called the Arabidopsis Information Resource (TAIR) (http://arabidopsis.org), which is accessible via commonly used web browsers and can be searched and downloaded in a number of ways. In the last two years, efforts have been focused on increasing data content and diversity, functionally annotating genes and gene products with controlled vocabularies, and improving data retrieval, analysis and visualization tools. New information include sequence polymorphisms including alleles, germplasms and phenotypes, Gene Ontology annotations, gene families, protein information, metabolic pathways, gene expression data from microarray experiments and seed and DNA stocks. New data visualization and analysis tools include SeqViewer, which interactively displays the genome from the whole chromosome down to 10 kb of nucleotide sequence and AraCyc, a metabolic pathway database and map tool that allows overlaying expression data onto the pathway diagrams. Finally, we have recently incorporated seed and DNA stock information from the Arabidopsis Biological Resource Center (ABRC) and implemented a shopping-cart style on-line ordering system.

Details

ISSN :
13624962
Volume :
31
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....b7e94dae6e05dff307dd003037449b84
Full Text :
https://doi.org/10.1093/nar/gkg076